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This study aims to explore the association between internet addiction and problem behaviours on social networking sites (SNS) using the general strain theory (Agnew, 1992).

Using the purposive sampling method, a survey was conducted, which collected data from 414 college students studying in two public universities in South Australia. The Delphi method was used to develop the questionnaire used for the survey.

'Results of this research indicated a significant association between internet addiction and problem behaviours on SNS. Respondents who had engaged in problem behaviours on SNS had high internet addiction test scores (Young, 1998). On the basis of this finding, the present research argues that the general strains associated with the suffering of newly emerging challenges such as internet addiction might contribute to victimisation and deviant and problem behaviours on SNS in specific and possibly in cyberspace in general.

Results of the present study need to be interpreted cautiously due to many limitations it has. This research is a cross-sectional study, which might not adequately explain the associations between internet addiction and problem behaviours on SNS. Longitudinal studies involving larger samples might have added significant value to this study. The present study uses purposive sampling technique, which has limited its generalizability, and its findings may not be generalised to large populations.

Limited information is available pertaining to the association between problem behaviours on SNS and internet addiction. The present study is a pioneering effort, which argues that rapid popularity of SNS is likely to increase internet addiction and the frustration of not getting proper treatment for their internet addiction might lead to deviant behaviours on SNS.

The effectiveness of foreign aid, specifically, the role it plays in promoting growth in developing countries, is one of the most debated issues in the field of economics. Despite the enormous resources channeled to developing countries over the past decades, only limited tangible results can be observed. The literature on aid effectiveness is vast. Yet, the results are inconclusive. The purpose of this paper is to examine the impact of economic aid provided by the USA on Egyptian economic growth before the Egyptian Revolution in 2011, more precisely, Mubarak’s era.

The paper uses a vector autoregressive (VAR) model and Granger causality test to answer the question of whether the US Agency for International Development (USAID) has been conductive to growth in Egypt over the period of 1981 to 2010.

The results reveal that USAID has no impact on the Egyptian economic growth.

The recommendations put forward by this paper are measures that Egyptian policymakers can undertake to increase aid effectiveness. These measures include the reduction of corruption, more active participation in delivering aid, greater accountability for aid outcomes and coordination of the activities of aid agencies.

Over a short interval of time (i.e. 2011-2014), Egypt has experienced tectonic political shifts, including the toppling of a long-entrenched dictator, two presidential elections, and a military coup. The purpose of this paper is to provide an analysis of the impact of such events on the country’s equity market behaviour, both in terms of returns and volatility.

The data set is composed of daily stock index closing prices for the overall market and top eight most actively traded sectors. To assess the impact of the considered events on the market and sector returns, an event study approach is applied. On the other hand, a univariate VAR-EGARCH model is employed to explore whether, and to what extent, volatilities at the market and sector levels respond to such events.

The results suggest that political uncertainty has a profound impact on the risk-return profiles of almost all market sectors, with different degrees of intensity. By and large, the price and volatility effects are most pronounced in banks, financial services excluding banks and chemicals sectors, whilst food and beverages as well as construction and materials sectors are found to be the least responsive to these events. The 2013 military coup turns out to be the most pervasive event impinging on the market and sector-specific indices.

The results have a number of practical implications that could be of interest to many parties involved. More specifically, with political dysfunction overshadowing business and investment activities in Egypt, genuine democratic reforms, which entail proper regard for human rights and the rule of law, must have the highest priority of policymakers, in order to secure a positive investment climate and to foster investor confidence. Furthermore, in tandem with considering other relevant factors, multinational companies need to have a thorough assessment of Egypt’s future political course and to develop more robust contingency plans to effectively combat potential threats generated by political vicissitudes.

To the author’s best knowledge, this study is the first attempt to empirically examine the price and volatility effects of the recent presidential events in Egypt, thereby contributing to the relevant literature in this area.

Digital technologies (DTs) have emerged as a major driving force, transmuting the ways Supply Chains (SCs) are managed. The integration of DTs in supply chain management (SCM), Digital Supply Chain Management (DSCM), has fundamentally reshaped the SCM landscape, offering new opportunities and challenges for organizations. This chapter provides a comprehensive overview of modern DTs and the way they impact modern SCM. This chapter has twofold objectives. First, it illustrates the major changes that DTs have brought to the supply chain landscape, unraveling their multifaceted implications. Second, it offers readers a deeper and comprehensive understanding of the challenges and opportunities arising from the incorporation of DTs into supply chains. By going through the chapter, readers will be able to have a comprehensive grasp of how DTs are reshaping SCM and how organizations can survive and thrive in the digital age. This chapter commences by shedding light on how DTs have and continue to redefine SCM, improving supply chain resilience, visibility, and sustainability in an increasingly complex and interconnected world. It also highlights the role of DTs in enhancing SC visibility, agility, and customer-centricity. Furthermore, this chapter briefly highlights the challenges related to the adoption (pre and post) of DTs in SCM, elucidating on issues related to talent acquisition, data security, and regulatory compliance. It also highlights the ethical and societal implications of this digital transformation, emphasizing the significance of responsible and sustainable practices. This chapter, with the help of three cases, illustrates how the adoption of DTs in SC can impact the various SC performance indicators.

In this essay Katherine Franke examines two contemporary cites in which state efforts to eradicate the traces of empire and to resurrect an authentic post-colonial nation have produced sexual subjects that serve as a kind of existential residue and remainder of a demonized colonial past and absence. Looking first at post-colonial Zimbabwe, Franke argues that President Mugabe’s aggressively homophobic policies have played a key role in fortifying his leadership as authentically African and post-colonial.

Franke then turns to current efforts by the Mubarak government in Egypt to publically prosecute men for having sex with men. The Mubarak government has used homosexual show trials, first in security courts, and then in civilian courts, as a dry run for the reorganization of the Egyptian court system’s jurisdiction over dissenters and outcasts.

This paper operationalizes insecurity and governance crises to study their effects on stock market response to two political events in Nigeria – the 2015 and 2019 presidential elections.

An event study was used to capture the market responses. Abnormal returns at the aggregate and sectoral levels were measured over several time windows before and after the respective election results were announced.

The market reacted strongly positively to a change in presidency from an incumbent to an opposition party candidate in the 2015 election but weakly positively, at best, to the re-election of the incumbent candidate in the 2019 election. In addition, banking stocks exhibited greater sensitivity to these events than oil and gas stocks.

There may be peculiarities with the Nigerian case and with the two elections analyzed. Therefore, future research could focus on understanding the extent to which the results generalize to the broader sub-Saharan context and other regions that face similar governance challenges.

Understanding that markets may have a different perception towards incumbent versus opposition candidate electoral victories during periods of insecurity and governance crisis is important for investors, policymakers, researchers and the wider society.

Past empirical studies on political events and stock returns in Sub-Saharan Africa contexts such as Nigeria ignore shifts in voter mood and produce contradictory findings. This paper helps to resolve some of these contradictions by providing insight into how the markets can have a different perception towards incumbent and opposition candidate electoral victories during periods of insecurity and governance crisis.

This study aims to provide a systemic and integrated view of how Industry 4.0 and its enabling technologies affect companies' internal and external environments. It offers a comprehensive view of the contribution about ten years after the start of the Fourth Industrial Revolution.

The study performs a systematic literature review based on Industry 4.0 management literature. Analyzing the results of the 308 final papers in the sample made it possible to build a theoretical model to explain the contribution of Industry 4.0 to the internal and external environment of the company.

The results highlight the contribution of Industry 4.0 to the processes and environment of the company by providing a systemic and integrated view, highlighting the most applied enabling technologies and their internal, external, and combined usefulness in business processes.

Finally, the paper provides a broad view of the Industry 4.0 topic ten years after its origin through an extensive literature analysis that allows us to highlight the significant studies and the areas still under-researched by researchers and opens the debate on the Industry 5.0 scenario.

The model makes it possible to appreciate the role of Industry 4.0 and its enabling technologies in companies in a broad and systemic view and to understand, from a managerial point of view, the interactions, synergies, and possibilities within processes and the reflection on the external environment.

To examine how social media restrict and recreate messages within current interactionist scripts in the Middle East and North Africa (MENA), this study applies a framework of digital reflexivity highlighting stages of information flow. It applies the symbolic interaction concept of emotional events to analyze the self-immolation of Mohamed Bouazizi and the role of social media in disseminating Bouazizi’s act as one catalyst of the MENA citizen uprisings. The role of social media in the “Arab Spring” merits investigation because social media provide opportunities to examine shifting identities, interactions, and actions of citizen activists in the MENA uprisings. This study is important and timely because little symbolic interactionist scholarship exists on MENA identities and social movements, or on crowd interaction and activism outside the West. The nuanced nature of MENA political activism and complex processes of the development of activists’ “mutable” selves (Zurcher, 1977) are fluid and resistant to symbolically defined social roles, interactionist scripts and reflexivity, and public communication practices in a MENA under political and social transition.

This paper aims to propose an approach for hate speech detection against politicians in Arabic community on social media (e.g. Youtube). In the literature, similar works have been presented for other languages such as English. However, to the best of the authors’ knowledge, not much work has been conducted in the Arabic language.

This approach uses both classical algorithms of classification and deep learning algorithms. For the classical algorithms, the authors use Gaussian NB (GNB), Logistic Regression (LR), Random Forest (RF), SGD Classifier (SGD) and Linear SVC (LSVC). For the deep learning classification, four different algorithms (convolutional neural network (CNN), multilayer perceptron (MLP), long- or short-term memory (LSTM) and bi-directional long- or short-term memory (Bi-LSTM) are applied. For extracting features, the authors use both Word2vec and FastText with their two implementations, namely, Skip Gram (SG) and Continuous Bag of Word (CBOW).

Simulation results demonstrate the best performance of LSVC, BiLSTM and MLP achieving an accuracy up to 91%, when it is associated to SG model. The results are also shown that the classification that has been done on balanced corpus are more accurate than those done on unbalanced corpus.

The principal originality of this paper is to construct a new hate speech corpus (Arabic_fr_en) which was annotated by three different annotators. This corpus contains the three languages used by Arabic people being Arabic, French and English. For Arabic, the corpus contains both script Arabic and Arabizi (i.e. Arabic words written with Latin letters). Another originality is to rely on both shallow and deep leaning classification by using different model for extraction features such as Word2vec and FastText with their two implementation SG and CBOW.